code: def test_same_dataset(tweet_emotion_train_test_textdata):
      # Arrange
      train, _ = tweet_emotion_train_test_textdata
      check = LabelDrift()
  
      # Act
      result = check.run(train, train)
  
      # Assert
      assert_that(result.value["Drift score"], close_to(0.0, 0.001))
  
file_path: deepchecks/tests/nlp/test_context.py
imports: from hamcrest import assert_that, calling, close_to, raises
  from deepchecks.core.errors import ValidationError
  from deepchecks.nlp import Suite
  from deepchecks.nlp.checks import LabelDrift, SingleDatasetPerformance
label_desc: Use image node_id 5 for calling a global function with example usage: test_same_dataset(tweet_emotion_train_test_textdata) without return types